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- Bansal, S, et al.
(author)
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Single-inhaler fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) triple therapy versus tiotropium monotherapy in patients with COPD
- 2021
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In: NPJ primary care respiratory medicine. - : Springer Science and Business Media LLC. - 2055-1010. ; 31:1, s. 29-
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Journal article (peer-reviewed)abstract
- Chronic obstructive pulmonary disease (COPD) treatment guidelines do not currently include recommendations for escalation directly from monotherapy to triple therapy. This 12-week, double-blind, double-dummy study randomized 800 symptomatic moderate-to-very-severe COPD patients receiving tiotropium (TIO) for ≥3 months to once-daily fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) 100/62.5/25 mcg via ELLIPTA (n = 400) or TIO 18 mcg via HandiHaler (n = 400) plus matched placebo. Study endpoints included change from baseline in trough forced expiratory volume in 1 s (FEV1) at Days 85 (primary), 28 and 84 (secondary), health status (St George’s Respiratory Questionnaire [SGRQ] and COPD Assessment Test [CAT]) and safety. FF/UMEC/VI significantly improved trough FEV1 at all timepoints (Day 85 treatment difference [95% CI] 95 mL [62–128]; P < 0.001), and significantly improved SGRQ and CAT versus TIO. Treatment safety profiles were similar. Once-daily single-inhaler FF/UMEC/VI significantly improved lung function and health status versus once-daily TIO in symptomatic moderate-to-very-severe COPD patients, with a similar safety profile.
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- Graham, Emily B., et al.
(author)
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Microbes as Engines of Ecosystem Function : When Does Community Structure Enhance Predictions of Ecosystem Processes?
- 2016
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In: Frontiers in Microbiology. - : Frontiers Media SA. - 1664-302X. ; 7
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Journal article (peer-reviewed)abstract
- Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.
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